Demographics details for Billings, MT vs Old monroe, MO
Population Overview
Compare main population characteristics in Billings, MT vs Old monroe, MO.
Data | Billings | Old monroe |
---|---|---|
Population | 119,960 | 263 |
Median Age | 37.7 years | 33.0 years |
Median Income | $69,692 | $61,250 |
Married Families | 37.0% | 28.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Billings vs Old monroe
- In Billings, the population is higher at 119,960, compared to 263 in Old monroe.
- Residents in Billings have a higher median age of 37.7 years compared to 33.0 years in Old monroe.
- Billings has a higher median income of $69,692 compared to $61,250 in Old monroe.
- A higher percentage of married families is found in Billings at 37.0% compared to 28.0% in Old monroe.
- The poverty level is identical in both Billings and Old monroe at 10%.
- Old monroe has a higher unemployment rate at 4.5% compared to 3.5% in Billings.
Demographics
Demographics Billings vs Old monroe provide insight into the diversity of the communities to compare.
Demographic | Billings | Old monroe |
---|---|---|
Black | 1 | Data is updating |
White | 82 | 100 |
Asian | 1 | Data is updating |
Hispanic | 7 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | 4 | Data is updating |
Demographics Comparison: Billings vs Old monroe
- A higher percentage of Black residents are in Billings at 1% compared to 0% in Old monroe.
- The percentage of White residents is higher in Old monroe at 100% compared to 82% in Billings.
- The Asian population is larger in Billings at 1% compared to 0% in Old monroe.
- The Hispanic community is larger in Billings at 7% compared to 0% in Old monroe.
- More residents identify as two or more races in Billings at 5% compared to 0% in Old monroe.
- A greater percentage of American Indian residents live in Billings at 4% compared to 0% in Old monroe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Billings | Old monroe |
---|---|---|
Mental Health Not Good | 16.6% | 18.6% |
Physical Health Not Good | 11.1% | 13.7% |
Depression | 27.8% | 26.0% |
Smoking | 16.1% | 22.2% |
Binge Drinking | 22.9% | 17.9% |
Obesity | 32.9% | 44.3% |
Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Billings vs Old monroe
- In Old monroe, a higher percentage report poor mental health at 18.6% compared to 16.6% in Billings.
- Depression is more prevalent in Billings at 27.8% compared to 26.0% in Old monroe.
- Old monroe has a higher smoking rate at 22.2% compared to 16.1% in Billings.
- Binge drinking is more common in Billings at 22.9% compared to 17.9% in Old monroe.
- Old monroe has higher obesity rates at 44.3% compared to 32.9% in Billings.
- Disability percentages are the same in both Billings and Old monroe at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Billings | Old monroe |
---|---|---|
No Schooling | 0.3% (321) | 0.4% (1) |
High School Diploma | 14.7% (17,691) | 19.0% (50) |
Less than High School | 5.4% (6,502) | 10.6% (28) |
Bachelor's Degree and Higher | 24.8% (29,705) | 5.3% (14) |
Education Levels Comparison: Billings vs Old monroe
- In Old monroe, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Billings.
- In Old monroe, the rate of residents with high school diplomas is higher at 19.0% compared to 14.7% in Billings.
- The percentage of residents with less than a high school education is higher in Old monroe at 10.6%, compared to 5.4% in Billings.
- A higher percentage of residents in Billings hold a bachelor's degree or higher at 24.8% compared to 5.3% in Old monroe.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.